Logan Williams
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Electrochemical Window of the Li-Ion Solid Electrolyte Li7 La3 Zr2 O12
T Thompson, S Yu, L Williams, RD Schmidt, R Garcia-Mendez, ...
ACS Energy Letters 2 (2), 462-468, 2017
Alloy-Free Band Gap Tuning across the Visible Spectrum
RA Makin, K York, SM Durbin, N Senabulya, J Mathis, R Clarke, ...
Physical Review Letters 122 (25), 256403, 2019
Magnetic frustration control through tunable stereochemically driven disorder in entropy-stabilized oxides
PB Meisenheimer, LD Williams, SH Sung, J Gim, P Shafer, GN Kotsonis, ...
Physical Review Materials 3 (10), 104420, 2019
Semiconducting High-Entropy Chalcogenide Alloys with Ambi-ionic Entropy Stabilization and Ambipolar Doping
Z Deng, A Olvera, J Casamento, JS Lopez, L Williams, R Lu, G Shi, ...
Chemistry of Materials 32 (14), 6070-6077, 2020
BInGaN alloys nearly lattice-matched to GaN for high-power high-efficiency visible LEDs
L Williams, E Kioupakis
Applied Physics Letters 111 (21), 2017
Insights on the Synthesis, Crystal and Electronic Structures, and Optical and Thermoelectric Properties of Sr1–xSbxHfSe3 Orthorhombic Perovskite
NA Moroz, C Bauer, L Williams, A Olvera, J Casamento, AA Page, ...
Inorganic chemistry 57 (12), 7402-7411, 2018
Sustainable p-type copper selenide solar material with ultra-large absorption coefficient
EM Chen, L Williams, A Olvera, C Zhang, M Zhang, G Shi, JT Heron, L Qi, ...
Chemical Science 9 (24), 5405-5414, 2018
Engineering new limits to magnetostriction through metastability in iron-gallium alloys
PB Meisenheimer, RA Steinhardt, SH Sung, LD Williams, S Zhuang, ...
Nature communications 12 (1), 2757, 2021
Deep Learning Based Prediction of Perovskite Lattice Parameters from Hirshfeld Surface Fingerprints
L Williams, A Mukherjee, K Rajan
The Journal of Physical Chemistry Letters 11 (17), 7462-7468, 2020
BAlGaN alloys nearly lattice-matched to AlN for efficient UV LEDs
L Williams, E Kioupakis
Applied Physics Letters 115 (23), 2019
FitSNAP: Atomistic machine learning with LAMMPS
A Rohskopf, C Sievers, N Lubbers, MA Cusentino, J Goff, J Janssen, ...
Journal of Open Source Software 8 (84), 5118, 2023
Effects of local compositional and structural disorder on vacancy formation in entropy-stabilized oxides from first-principles
S Chae, L Williams, J Lee, JT Heron, E Kioupakis
npj Computational Materials 8 (1), 95, 2022
Quantum signatures for screening metavalent solids
D Giri, L Williams, A Mukherjee, K Rajan
The Journal of Chemical Physics 154 (12), 2021
Monitoring the role of site chemistry on the formation energy of perovskites via deep learning analysis of Hirshfeld surfaces
L Williams, A Mukherjee, A Dasgupta, K Rajan
Journal of Materials Chemistry C 9 (34), 11153-11162, 2021
Lattice-constant and band-gap tuning in wurtzite and zincblende BInGaN alloys
K Greenman, L Williams, E Kioupakis
Journal of Applied Physics 126 (5), 2019
Machine Learning using local environment descriptors to predict new scintillator materials
LD Williams, G Pilania
Los Alamos National Lab.(LANL), Los Alamos, NM (United States), 2018
Machine Learning-Aided Property Prediction of Hybrid Organic–Inorganic Perovskites Using Hirshfeld Surface Representations of Crystal Structures
L Williams, A Mukherjee, R Dongol, K Rajan
The Journal of Physical Chemistry C 127 (24), 11672-11682, 2023
Active Learning of SNAP Potentials using Bayesian Uncertainty Estimation.
L Williams, K Sargsyan, K Johnston, H Najm
Sandia National Lab.(SNL-CA), Livermore, CA (United States), 2022
Uncertainty Quantification of Machine Learning Interatomic Potential Models.
K Sargsyan, L Williams, H Najm
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States); Sandia …, 2022
Quantification and Propagation of Uncertainties in Machine Learning Interatomic Potentials for Molecular Dynamics.
K Sargsyan, L Williams, K Johnston, H Najm
Sandia National Lab.(SNL-NM), Albuquerque, NM (United States), 2022
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